arXiv (All)
open access
Information Thermodynamics of Agents: The Work Capacity of Channels with Memory
adaptation-and-self-organizing-systemschaotic-dynamicsinformation-theorymachine-learningquantum-physicsstatistical-mechanics
Predicting future observations plays a central role in machine learning, biology, economics, and many other fields. It lies at the heart of organizational principles such as the variational free energy principle and, based on the second law of thermodynamics, has even been shown to be necessary for
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Is external memory memory? Biological memory and extended mind#753455
- Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents#1063545
- The Metaphysics of Memory#753508
- Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads#1062655
- Memory as Middleware for Self-Improving AI Agents#1116422
Record · ID 1144712
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive